Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 26, 2026.

Mevalonate Cascade Inhibition by Simvastatin Induces the Intrinsic Apoptosis Pathway via Depletion of Isoprenoids in Tumor Cells

Javad Alizadeh, Amir A. Zeki, Nima Mirzaei and 16 more

Scientific Reports · 2017 · CC BY

doi:10.1038/srep44841

Abstract

The mevalonate (MEV) cascade is responsible for cholesterol biosynthesis and the formation of the intermediate metabolites geranylgeranylpyrophosphate (GGPP) and farnesylpyrophosphate (FPP) used in the prenylation of proteins. Here we show that the MEV cascade inhibitor simvastatin induced significant cell death in a wide range of human tumor cell lines, including glioblastoma, astrocytoma, neuroblastoma, lung adenocarcinoma, and breast cancer. Simvastatin induced apoptotic cell death via the intrinsic apoptotic pathway. In all cancer cell types tested, simvastatin-induced cell death was not rescued by cholesterol, but was dependent on GGPP- and FPP-depletion. We confirmed that simvastatin caused the translocation of the small Rho GTPases RhoA, Cdc42, and Rac1/2/3 from cell membranes to the cytosol in U251 (glioblastoma), A549 (lung adenocarcinoma) and MDA-MB-231(breast cancer). Simvastatin-induced Rho-GTP loading significantly increased in U251 cells which were reversed with MEV, FPP, GGPP. In contrast, simvastatin did not change Rho-GTP loading in A549 and MDA-MB-231. Inhibition of geranylgeranyltransferase I by GGTi-298, but not farnesyltransferase by FTi-277, induced significant cell death in U251, A549, and MDA-MB-231. These results indicate that MEV cascade inhibition by simvastatin induced the intrinsic apoptosis pathway via inhibition of Rho family prenylation and depletion of GGPP, in a variety of different human cancer cell lines.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.

Tumor cells undergo significant metabolic reprogramming to serve their increased needs for energy and macromolecules. Cholesterol is essential for eukaryotic cells and critical for the propagation of tumor cells which utilize de novo cholesterol biosynthesis via fatty acid synthesis and the mevalonate (MEV) cascade. The MEV pathway also generates non-sterol end products called isoprenoids, including isopentenyl pyrophosphate, farnesyl and geranylgeranyl isoprenoids, dolichol, ubiquinone, and isopentenyl adenine. In eukaryotes, the MEV pathway is the only metabolic pathway capable of generating the isoprenoids FPP and GGPP. In tumor cells, the MEV metabolism is dysregulated and glucose, glutamine, and acetate serve as substrates to fuel an anabolic MEV pathway. 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) is the rate-limiting enzyme in the biosynthesis of MVA and cholesterol. Considered a new member of the family of metabolic oncogenes, this key enzyme is frequently dysregulated in tumor cells.

Statin drugs inhibit HMGCR and this can modulate several cellular signaling pathways relevant to tumor formation, including angiogenesis, cellular proliferation, cell cycle regulation, gene expression, metastatic potential, and cell death. Statins deplete cellular FPP, GGPP, and cholesterol by decreasing MEV levels, cause cell cycle arrest by up-regulation of cyclin-dependent kinase inhibitors p21 and p27, induce apoptosis and modulate proteasome activity. While statin-mediated inhibition of small Rho GTPase prenylation (geranylgeranylation and farnesylation) and cholesterol depletion are important contributing factors, the exact mechanisms of statin-induced apoptosis in tumor cells has not yet been fully elucidated.

The increased demand on the MEV pathway and its products during enhanced proliferation sensitizes tumor cells to inhibition of the MEV pathway by statins. Several recent epidemiological investigations confirmed a possible role of statins as anti-cancer agents. In recent phase II clinical trials, lovastatin or pravastatin only showed limited inhibition of tumor growth. However, their combination with different chemotherapeutic drugs produced more effective anti-tumor effects in several preclinical models. According to www.clinicaltrials.gov there are approximately 153 clinical trials evaluating the use of statins as adjunctive or co-treatment for various types of cancers. The most common statins used in these studies is simvastatin (53) followed by atorvastatin (37), rosuvastatin (21), pravastatin (18), lovastatin (11), and fluvastatin (3). This adds up to 143 studies, and the remaining 10 studies are looking at “statin use” and are inclusive of all statins.

This raises the important question of which cancers, which statins, and with which chemotherapeutic or radiation combination will we produce the desired result of selective or preferential cancer cell apoptosis while reducing mortality. Therefore, elucidating these mechanisms remains of paramount importance if we hope to develop potentially more specific and effective targeted therapies based on the anti-cancer effects of statins. Our present study provides promising avenues to pursue this line of thinking.

In the present study, we investigated the ability of simvastatin to induce apoptosis in a broad range of human tumor cell lines of different origin. We hypothesized that statin-induced depletion of prenylation intermediates in the mevalonate cascade is responsible for apoptosis in cancer cells. Here we show that simvastatin-induced apoptosis was independent of cholesterol but required the prenylation intermediates GGPP and FPP.

Simvastatin induces concentration- and time-dependent cell death in human brain, lung, and breast cancer cell lines

We initially tested the concentration (0–20 μM) and time (0–96 h) effects of simvastatin on viability of glioblastoma (U87 (ATCC- HTB-14™), U251 (ATCC)), neuroblastoma (SH-SY5Y (ATCC-CRL-2266™)), lung adenocarcinoma (A549 (ATCC- CCL-185™), H460 (ATCC- HTB-177™), H1650 (ATCC-CRL-5883™), H1975 (ATCC-CRL-5908™)), breast cancer (MCF-7 (ATCC-HTB-22™), MDA-MB-231 (ATCC-HTB-26™)), human astrocyte (Sciencell-1800), human HBE1(Gift from Dr. Amir Zeki lab, UC Davis), and human MCFD10A (Gift from Dr. Amir Zeki lab, UC Davis) (Fig. 1A–F) (Supplementary Fig. 1A–S). Simvastatin induces significant cell death in U87 (Fig. 1A,B) [(48 h, P < 0.01 for concentrations ≥5 μM), (96 h, P < 0.001 for concentrations ≥2.5 μM)], U251 (Fig. 1C,D) [(48 h, 96 h P < 0.001 for concentrations ≥2.5 μM)], SH-SY5Y (Fig. 1E,F) [(96 h, P < 0.001 for concentrations ≥2.5 μM)], A549 (G, H) [(48 h, P < 0.01 for concentrations ≥5 μM), (96 h, P < 0.001 for concentrations ≥2.5 μM)], H460 (I, J) [(48 h, P < 0.01 for concentrations ≥10 μM), (96 h, P < 0.001 for concentrations ≥2.5 μM)], H1650 (K, L) [(48 h, P < 0.01 for concentrations ≥5 μM), (96 h, P < 0.001 for concentrations ≥1 μM)], H1975 (M, N) [(48 h, P < 0.01 for concentrations ≥5 μM), (96 h, P < 0.001 for concentrations ≥1 μM)], MCF-7 (O, P) [(48 h, P < 0.01 for concentrations ≥2.5 μM), (96 h, P < 0.001 for concentrations ≥2.5 μM)], MDA-MB-231 (Q, R) [(48 h, P < 0.001 for concentrations ≥1 μM), (96 h, P < 0.0001 for concentrations ≥1 μM)]. The morphological changes of U87, A549, and MDA-MB213 cells observed when treated with simvastatin (10 μM, 60 h) are shown in Fig. 1G. Our results also showed that simvastatin induced both time- and concentration-dependent significant cell death (P < 0.0001) in human astrocytes (Supplementary Figure 1E and F), HBE1 (human bronchial epithelial cells) (Supplementary Figure 1M and N), and MCF10A (non-tumorigenic epithelial breast cell line) (Supplementary Figure 1Q and S). In summary, simvastatin induced a concentration- and time-dependent cell death in a broad range of human tumor and non-malignant cell lines.

Simvastatin induces the intrinsic apoptotic pathway in human cancer cells

We confirmed that simvastatin (10 μM, 60 h) significantly induced apoptotic cell death in U87, U251, SH-SY5-Y, A549, H460, H1650, H1975, MCF-7, and MDA-MB-231 cell lines (Fig. 2A–D) (Supplementary Fig. 2A–F). As shown in Fig. 2D, an apoptotic cell population was identified as sub-G1 population in flow cytometry as had been described by us previously. Simvastatin (10 μM, 48 h) failed to activate caspase-8 but did activate caspase-9 and caspase-3/-7 in all cell lines tested at 36 h (Fig. 2E–G) (Supplementary Fig. 2G–L). These findings indicated that MEV cascade inhibition induced the intrinsic apoptotic pathways in all tumor cell lines tested. The involvement of the intrinsic apoptosis pathway was further confirmed by measuring mitochondrial membrane potential in simvastatin-treated (10 μM, 36 h) cells (U87, A549, MDA-MB231) (Fig. 2L–O). Simvastatin significantly reduced mitochondrial membrane potential in these tumor cells (U87, P < 0.01, A549, P < 0.05, and MDA-MB231, P < 0.001). We also showed that shorter treatment of simvastatin (10 mΜ, 18 h) did not change mitochondrial membrane potential in these cells (Fig. 2H–K) (P > 0.05).

Simvastatin-induced cell death in human cancer cells is not rescued by cholesterol but is dependent on depletion of FPP and GGPP

Statin-induced apoptosis is due to a loss of cell membrane cholesterol and/or depletion of the polyisoprene cholesterol precursors, FPP and GGPP, which are essential lipid anchors for active small GTPase proteins in cells. We used different approaches to identify the mechanism by which MEV cascade inhibition caused apoptosis. First, we performed treatment of tumor cells (U87, U251, A549, H460, H1650, H1975, MCF-7, MDA-MB-231) with simvastatin (10 μM, 96 h) in the presence of MEV (2.5, 5 mM), cholesterol (25, 50 μM), and next used FPP (7.5, 15 μM), and GGPP (7.5, 15 μM) pre-treatment and co-treatment in the cell models. MEV (Fig. 3A,C,E and Supplementary Fig. 3A,C,E,G,I,K), FPP (Fig. 4A,C,E, and Supplementary Fig. 4A,C,E,G,I,K), and GGPP (Fig. 4B,D,F, and Supplementary Fig. 4B,D,F,H,J,L) were each able to significantly inhibit (P < 0.001) simvastatin-induced cell death in all cell lines tested. However, cholesterol did not have any significant effect on simvastatin-induced cell death (Fig. 3B,D,F, and Supplementary Fig. 3B,D,F,H,J). Our results also showed that simvastatin significantly decreased total cholesterol (P < 0.01) and de novo cholesterol biosynthesis (P < 0.001) in U251 cells (Fig. 3G,H). Simvastatin did not significantly change total cholesterol or de novo cholesterol biosynthesis (P > 0.05) in A549 (Fig. 3I,J) and MDA-MB231 cells (Fig. 3K,L).

Simvastatin blocks membrane translocation of Rho family small GTPases

We investigated the ability of simvastatin to affect the translocation of small Rho GTPases from the plasma membrane to the cytosol in U251 (Fig. 5A), A549 (Fig. 5C), and MDA-MB231 (Fig. 5E). Simvastatin decreased membrane localization of RhoA, Cdc42, and Rac/1/2/3 and their cytosolic cellular fraction suggesting simvastatin-mediated block in prenylation of small GTPases and poor membrane translocation. We measured GTP-bound Rho protein and showed that simvastatin significantly (P < 0.05) increased GTP-bound Rho in U251 (Fig. 5B), whereas mevalonate, FPP, and GGPP co-treatment decreased GTP-bound Rho to untreated levels. Simvastatin did not significantly change GTP-bound Rho protein in A549 (Fig. 5D) and MDA-MB-231 (Fig. 5F). Thus, simvastatin-induced small GTPase protein prenylation and intracellular localization may vary among different tumor cell lines.

Inhibitors of Geranygeranyltransferase and Farnesyltransferase Induce Differential Cell Death in Cancer Cells

Simvastatin-induced cell death in cancer cells was further investigated using farnesyl transferase inhibitor (FTi-277) and geranylgeranyl transferase I inhibitor (GGTi-298) in U87, A549, and MDA-MB231 cells. FTi-277 (0–40 μM, 36, 60 h) had no significant effect (P > 0.05) on cell death in all three cells in 36 h (Fig. 6A,C,E) and induced less than 15% death in U87 and A549 cells at 60 h (Fig. 6B,D). GGTi-298 (>5 μM) induced significant (P > 0.001) cell death in U87, A549, and MDA-MB231 cells (36 and 60 h, Fig. 6G–L), indicating that gernylgernalytion was the leading mechanism in simvastatin-induced cell death in these cancer cells.

Discussion

In the present study, we found that MEV cascade inhibition by the HMGCR inhibitor simvastatin induced intrinsic apoptosis cell death and decreased mitochondrial membrane potential in a broad range of human tumor cell lines, including glioma (U87, U251), neuroblastoma (SH-SY5Y), lung (A549, H460, H1650, H1975), and breast cancer cells (MCF7, MDA-MB231). Inhibition of the MEV cascade prevented the membrane translocation of the small Rho GTPases RhoA, Cdc42 and Rac1/2/3 and this simvastatin effect was independent of cellular cholesterol but partially rescued by FPP and GGPP. Inhibition of FTase had no effect on cell death and FPP supplementation caused partial reversal of the simvastatin-mediated effects. FPP can also be converted into GGPP and the addition of FPP can restore farnesylation and geranylgeranylation. We also showed that, at least in U251 brain tumor cell line, the membrane localization of prenylated Rho GTPases was important for GTPase activity. Our findings are summarized in Fig. 7.

Simvastatin (10 μM) is known to induce mitochondrial-dependent apoptotic cell death in brain tumor cell lines (U87 and U251) with subsequent activation of caspase-3. Lovastatin (5 μM) can induce GGPP- and FPP-dependent apoptosis in U87 and U251 cells which is regulated by the expression of Bcl2 pro-apoptotic protein (Bim) in the absence of any changes in Blc2 anti-apoptotic protein expression. Interestingly, lovastatin (10 μM)-induced caspase-dependent apoptosis in SH-SY5Y cells was inhibited using caspase-3 (Z-DEVD-FMK) (50 μM), and caspase-9 (Z-LEHD-FMK) (50 μM) inhibitors. Thus, statin mediates its cytotoxic effects via caspases of the intrinsic apoptotic pathway.

Simvastatin also induces pro-apoptotic Bcl2 family members Bcl2 and Bax in MCF-7 and MDA-MB231 cells in a time- and dose-dependent manner. These effects were also caspase-dependent since simvastatin increased caspase-3 and -9 activity in MDA-MB231 cells. Similarly, fluvastatin and atorvastatin, were also reported to induce dose- and time-dependent apoptosis in MCF-7 and MDA-MB-231 breast cancer cell lines. Several mechanisms have been proposed for statin-induced cell death in breast cancer cells including an increase of reactive oxygen species (ROS), the downregulation of survivin expression, increased nitric oxide synthase activity (iNOS or NOS II) via geranylgeranylation, and G1/S cell cycle arrest due to an increase in p21(Waf1/Cip1).

Simvastatin was shown to induce caspase-dependent apoptosis in A549 cells which is regulated by the Bcl2 family proteins and ROS and can be reversed by treatment with N-acetylcysteine. Other investigators have reported that simvastatin can induce apoptotic pathways in A549 and H460 cells by blocking the cell cycle and down-regulating cyclin D1 and cyclin dependent kinases (CDKs) expression. In A549 cells, simvastatin-induced cell death was associated with decreased expression of survivin, like in breast cancer cells.

Our previous investigations in human airway smooth muscle and fibroblasts and in human atrial fibroblasts showed that simvastatin induces the intrinsic apoptosis pathways in a small GTPase prenylation dependent way. This statin effect was not reversible with cholesterol co-treatment. It has been also shown that GGTI-298, but not FTI-277, can mimic the cytotoxic effects of statins, indicating that statins induce cell death by inactivating Rho/Rac GTPase activities. These results were also confirmed by translocation of RhoA, Rac1/2/3, and Cdc42 to cytosol in simvastatin-treated cells. In eukaryotic cells, prenylation is carried out by three different prenyl transferases: farnesyl transferase (FT), geranylgeranyl transferase I (GGTI) and Rab geranylgeranyl transferase (Rab GGT or GGTII). FT is responsible for prenylation of proteins such as Ras and lamins. The GGTI catalyses the geranylgeranylation of proteins in the Rho and Rac family, whereas the Rab GGT is responsible for the geranylgeranylation of the Rab protein family. Simvastatin increases Rac GTP loading in THP-1 monocyte cells while decreasing prenylation of Rac in the presence of amyloid beta stimulation, and decreasing the induction of inflammation in these cells. In addition, T-cell function is not affected by Rho GTP loading, whereas geranylgeranylation of these small Rho GTPases is the determining step that affects their function. Our results showed that statin-induced Rho protein GTP loading is dependent to specific cell type and Rho protein localization and geranylgeranylation is the determining step in regulation of their function (Figs 5, 6 and 7).

One of the signaling proteins involved in transmitting extracellular stimuli to intracellular components is the Ras (Rat sarcoma) superfamily of small GTPases. In normal cellular and biological conditions these proteins play essential functions in the regulation of pathways critical to cytoskeletal reorganization, cell survival and proliferation, transformation, and vesicular trafficking. One of the major subgroups in Ras superfamily of small GTPases is Rho (Ras homologous) family GTPases. The members of small Rho GTPase (Rho, Rac, and Cdc42) are well known for their key functions in regulating actin cytoskeleton controlling actin stress fibers. The function of small GTPases is very tightly regulated by different molecular switches, including prenylation and guanosine triphosphate (GTP) binding. When bound to GTP and prenylated, small GTPases not only translocate to the membrane but also undergo a conformational change to engage effectors that promote downstream signaling pathways.

In addition to their role in normal physiological and developmental processes, Rho GTPases can contribute to pathological processes including cancer cell migration, invasion, metastasis, and inflammation. Activating mutations in Ras proteins (such as K-Ras, N-Ras, and H-Ras) are found in 15 to 30% of human tumors. Several Rho proteins are upregulated in different human tumor types, including RhoA, RhoC, Rac1, Rac2, Rac3, and Cdc42. Rac1 is overexpressed in breast, lung, oral squamous cell, testicular, and gastric carcinoma, whereas RhoA is also overexpressed in breast, colon, lung, gastric, head and neck, bladder, and testicular carcinomas. Cdc42 is overexpressed in breast and testicular cancers. Therefore, inhibition of these over-expressed Rho small GTPases might improve current therapeutic approaches in the treatment these cancers.

There is increasing interest in repurposing statins for use in the treatment of human cancers. An epidemiologic study has shown that statin use in patients with cancer was associated with reduced cancer-related mortality. Our results showed that the HMGCR inhibitor simvastatin induces intrinsic apoptotic cell death in different cancer cell models via a unique small Rho GTPase-dependent pathway which prevents small Rho GTPase prenylation and inhibits subsequent translocation to the membrane, thus, effectively deactivating Rho GTPases. Interestingly, our current investigation suggests that cholesterol depletion is not involved in simvastatin-induced apoptosis in glioblastoma, neuroblastoma, non-small lung cancer cells, and breast cancer cell lines.

In our forthcoming studies, we are studying how the combination of simvastatin with different chemotherapeutic agents may synergize to enhance cancer cell killing. We will explore mechanisms of cell fate that could mediate this beneficial statin effect, thereby supplementing and enhancing the therapeutic effects of cancer medications.

Reagents

Cell culture plastic ware, media, penicillin, streptomycin, and fetal bovine serum (FBS) were obtained from VWR (Toronto, ON, Canada). Secondary anti-rabbit and anti-mouse antibodies, propidium iodide (PI), simvastatin, mevalonate (Mev), farnesylpyrophosphate (FPP), geranylgeranylpyrophosphate (GGPP), GGTi-298, FTi-277, cholesterol, and 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide) (MTT), were obtained from Sigma (Sigma-Aldrich, Oakville, CA). Rabbit anti-human/mouse Rac1/2/3, RhoA, and Cdc42 were purchased from Cell Signaling (Canada). Casapase-Glo®-3/7, Caspase-Glo®-8 and Caspase-Glo®-9 assay were purchased from Promega (Toronto, ON, Canada). Tetramethylrhodamine, Methyl Ester, Perchlorate (TMRM) was purchased from Biotium (Hayward, CA, USA). Thin layer chromatographic plates (silica gel G, 0.25-mm thickness) were from Fisher (Winnipeg, Manitoba, Canada). Ecolite scintillant was from ICN Biochemicals (Montreal, Quebec, Canada). Unlabeled cholesterol standard was from Sigma-Aldrich (Oakville, ON, Canada). [1-14C]Acetate was from American Radiolabeled Chemicals (St. Louis, MO, USA). All other biochemicals were American Chemical Society grade and were obtained from either Sigma-Aldrich or Fisher Scientific (Winnipeg, MB, Canada).

Cell Culture

For all experiments we used the following human cancer cell lines: (U87 (ATCC- HTB-14™), U251 (ATCC)), neuroblastoma (SH-SY5Y (ATCC-CRL-2266™)), lung adenocarcinoma (A549 (ATCC- CCL-185™), H460 (ATCC- HTB-177™), H1650 (ATCC-CRL-5883™), H1975 (ATCC-CRL-5908™)), breast cancer (MCF-7 (ATCC-HTB-22™), MDA-MB-231 (ATCC-HTB-26™)), human astrocyte (Sciencell-1800), human HBE1(Gift from Dr. Amir Zeki lab, UC Davis), and human MCFD10A (Gift from Dr. Amir Zeki lab, UC Davis). Cancer cells were cultured in DMEM (high glucose) supplemented with FBS (10%), penicillin (1%), and streptomycin (1%). Human astrocytes were cultured in DMEM supplemented with FBS (10%), penicillin (1%), and streptomycin (1%). HBE1 cells were grown to 90% confluency on a 100 mm cell culture plate in serum-free medium containing Ham’s F12/DMEM (1:1), 15 mM NaHCO3, 15 mM Hepes (pH 7.4), with these factors: transferrin (5 μg/mL), insulin (5 μg/mL), cholera toxin (10 ng/mL), epidermal growth factor (10 ng/mL), dexamethasone (0.1 μM), bovine hypothalamus extract (15 μg/mL). Cells were then transferred to 6-well plates in submerged media conditions. MCF10A were grown in Lonza CC-3150 MEGM per ATCC’s recommendation without gentamicin/amphotericinplus 100 ng/mL cholera toxin. Cells were then transferred to 6-well plates.

Cell Viability Assay

We measured the viability of different cancer cells under various treatment conditions, as described previously, using MTT assay. Briefly, U87, U251, SH-SY5Y, A549, H460, H1650, H1975, MCF7, MDA-MB-231n normal astrocytes, HBE1, and MCF10A cells were treated with different concentrations of simvastatin for different time points (0–20 μM, 0–96 h). Relative cell viability (percent of control) was calculated using the equation: (mean OD (570) of treated cells/mean OD (570) of control cells) × 100. For each time point, the treated cells were compared with control cells that had been treated with dimethyl sulfoxide (DMSO) vehicle only. In experiments investigating the role of MEV, GGPP, FPP, and cholesterol in mediating the cytotoxic effects of simvastatin on tumor cells, MEV (2.5 and 5 mM), GGPP (7.5 and 15 μM), FPP (7.5 and 15 μM), and cholesterol (25 and 50 μM) were added to culture media 4 h before subsequent simvastatin co-treatment (10 μM, 96 h). The cytotoxic effect of GGTi-298 and FTi-277 (0–40 μM) in U87, A549, and MDA-MB-231, was evaluated using the same protocol as described for the simvastatin-induced cytotoxic assay.

Analysis of cellular morphology

To assess cell viability based on gross cellular appearance, U87, A549, and MDA-MB-231 cells were grown on 6 well plates, treated with simvastatin (10 μM, 60 h) and assessed by phase contrast microscopy (Zeiss Axioverts 100) using a Olympus DP10 CCD digital camera to capture images.

Measurement of Apoptosis by Flow Cytometry

The Nicoletti method was used to measure cellular apoptosis. Briefly, cells cultured in 12 well plates were treated with simvastatin (10 μM, 48 h). Cells were detached using EDTA buffer and harvested by centrifugation at 1500 g for 5 min at 4 °C. Cells were washed once in PBS before resuspending in a hypotonic PI lysis buffer (0.1% Triton X-100, 1% sodium citrate, 0.5 mg/ml RNase A, 40 μg/ml propidium iodide). Cell nuclei were incubated at 37 °C for 30 min and analyzed by flow cytometry. Apoptotic nuclei were located on the left side of the G1 peak and contained hypo-diploid DNA.

Luminometric Caspase Assay

For the proteolytic activity of caspase-8 (IETD-ase), -3/-7 (DEVD-ase), -9 (LEHDase), Caspase-Glo®-3/-7, -8, and -9 (Promega) were determined in luminometric assays according to the manufacturer’s instructions and our previous report. Briefly, cells were grown in 96-well plate (15,000 cells/well) and treated with simvastatin (10 μM, 36 h). Fresh caspase reagents were prepared containing z-LETD-Luciferin, z-DEVD-Luciferin or z-LEHD-Luciferin and whole protein cell lysate extract buffer. Cells treated only with medium and reagent blank (negative controls) were included in each experiment. Plates were shaken gently at 300–500 rpm for 30 sec and then incubated for 90 min at room temperature. The solution was transferred to a white-well plate and then the luminescence was measured for each sample and compared to negative control values.

TMRM Staining for Mitochondrial Membrane Potential Measurement

U87, A549, and MDA-MB231 cells were cultured in 6 well plates and were treated with simvastatin (10 μM, 36 h) and then were stained with (Tetramethylrhodamine, Methyl Ester, Perchlorate TMRM (100 nM) and Hoechst (10 μM) nuclear stain at 37 °C for 30 minutes. After washing, the cells they were imaged using florescence microscope and the fluorescence was quantified on ImageJ software in at least 50 individual cells in different views (NIH, Bethesda, MD, USA).

Membrane anchoring of Rho GTPases

To determine membrane anchoring of prenylated Rho and Rac GTPases, U251, A549, and MDA-MB-231 were cultured in DMEM with high glucose/10% FBS in the presence or absence of simvastatin (10 μM, 36 h). Upon washing, cells were scraped in ice cold buffer (10 mM Tris–HCl, pH 7.5, 0.1 mM EDTA, 0.1 mM EGTA, 1 mM dithiothreitol, and protease inhibitor cocktail), sonicated on ice three times for 5 sec and cell homogenate was separated into cytoplasmic and membrane fractions by ultracentrifugation (100,000 × g for 35 min). Membrane fractions were solubilized in dissociation buffer (50 mM Tris–HCl, pH 7.5, 0.15 M NaCl, 1 mM dithiothreitol, 1% SDS, 1 mM EDTA, 1 mM EGTA, protease inhibitor cocktail), and subsequently size fractioned by SDS–PAGE (15%) for immunoblot analysis using primary antibodies to Rac1/2/3, Cdc42, and RhoA (all Cell Signaling).

Measurement of Rho GTPase activity

Rho-GTP bound was measured in snap-frozen cell lysates harvested from cells cultured in medium without FBS and treated with simvastatin (10 μM), mevalonate (2.5 mM), FPP, and GGPP (15 μM), Simva. + mevalonate, simvastatin + FPP, and simvastatin + GGPP for 36 h. We used a luminometric-based G-LISA Rho –GTP bound assay (Cytoskeleton, Inc, Denver, Colo) for U251, A549, and MDA-MB231 cells Briefly, cell lysates were subjected to Rho binding domain in a Rho-GTP affinity 96-well plate (Cytoskeleton, Inc, Denver, Colo). Rho-GTP was detected with specific primary antibody, followed by horseradish peroxidase-conjugated secondary antibody detection and development with a chemiluminescent reagent. A constitutively active Rho-GTP provided in the kit was used as positive control in all experiments.

Cholesterol mass measurement

U87, A549, and MDA-MB231 cells were treated with simvastatin (10 μM, 36 h) and subsequently cholesterol content of cells was determined by colorimetric reaction using the Amplex Red Cholesterol assay kit (Invitrogen) as per the manufacturer’s instructions. Lipids were extracted and cholesterol isolated on thin layer chromatography plates prior to analysis as described. All isolates were measured immediately after drying down under N2.

Cholesterol labeling experiment

Cells were incubated with 0.1 μM [1-14C]acetate (10 μCi/dish) for 24 h. Lipids were extracted and cholesterol isolated on thin layer chromatography plates as above. Spots corresponding to cholesterol standards were removed, and radioactivity incorporated into cholesterol determined by liquid scintillation counting as described.

Immunoblotting

Western blotting was used to detect Cdc42, Rac1/2/3 and RhoA in membrane and cytosolic fractions as described previously. Pan-cadherin and GAPDH were used to confirm membrane and cytosolic fraction purity, respectively. Briefly, cells protein extracts were prepared in lysis buffer (20 mM Tris-HCl (pH 7.5), 0.5 mM PMSF, 0.5% Nonidet P-40, 100 μM β-glycerol 3-phosphate and 0.5% protease inhibitor cocktail). Supernatant protein content was measured by Lowry protein assay after centrifugation at 13,000 g for 10 min. Proteins were separated by SDS-PAGE and transferred to nylon membranes under reducing conditions. Membranes were blocked with non-fat dried milk and Tween 20 followed by overnight incubation with the primary antibodies at 4 °C, followed by incubation with HRP-conjugated secondary antibody for 1 h at room temperature. Blots were developed by enhanced chemiluminescence (ECL) detection (Amersham-Pharmacia Biotech).

Statistical Analysis

The results were expressed as means ± SEM and statistical differences were evaluated by one-way or two-way ANOVA followed by Tukey’s or Bonferroni’s post hoc testing, using Graph Pad Prism 7.0. A p-value < 0.05 was considered statistically significant. For all experiments data were collected in five replicates and in three separate experiments.

Additional Information

How to cite this article: Alizadeh, J. et al. Mevalonate Cascade Inhibition by Simvastatin Induces the Intrinsic Apoptosis Pathway via Depletion of Isoprenoids in Tumor Cells. Sci. Rep. 7, 44841; doi: 10.1038/srep44841 (2017).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References 94

  1. 1.

    Zong W. X., Rabinowitz J. D. & White E. Mitochondria and Cancer. Mol Cell 61, 667–676, doi: (2016 ).

    Not in our library10.1016/j.molcel.2016.02.011

  2. 2.

    Bost F., Decoux-Poullot A. G., Tanti J. F. & Clavel S. Energy disruptors: rising stars in anticancer therapy? Oncogenesis 5, e188, doi: (2016 ).

    Not in our library10.1038/oncsis.2015.46

  3. 3.
  4. 4.

    Zaidi N., Swinnen J. V. & Smans K. ATP-citrate lyase: a key player in cancer metabolism. Cancer research 72, 3709–3714 (2012 ).

    Not in our library10.1158/0008-5472.can-11-4112

  5. 5.

    Yeganeh B.. Targeting the mevalonate cascade as a new therapeutic approach in heart disease, cancer and pulmonary disease. Pharmacol Ther 143, 87–110, doi: (2014 ).

    Not in our library10.1016/j.pharmthera.2014.02.007

  6. 6.

    Liao P., Hemmerlin A., Bach T. J. & Chye M. L. The potential of the mevalonate pathway for enhanced isoprenoid production. Biotechnol Adv, doi: (2016 ).

    Not in our library10.1016/j.biotechadv.2016.03.005

  7. 7.
  8. 8.

    Clendening J. W.. Dysregulation of the mevalonate pathway promotes transformation. Proc Natl Acad Sci USA 107, 15051–15056, doi: (2010 ).

    Not in our library10.1073/pnas.0910258107

  9. 9.

    Mashimo T.. Acetate is a bioenergetic substrate for human glioblastoma and brain metastases. Cell 159, 1603–1614 (2014 ).

    Not in our library10.1016/j.cell.2014.11.025

  10. 10.

    Comerford S. A.. Acetate dependence of tumors. Cell 159, 1591–1602 (2014 ).

    Not in our library10.1016/j.cell.2014.11.020

  11. 11.

    Clendening J. W.. Dysregulation of the mevalonate pathway promotes transformation. Proceedings of the National Academy of Sciences 107, 15051–15056 (2010 ).

    Not in our library10.1073/pnas.0910258107

  12. 12.

    Wong W. W.-L.. Determinants of sensitivity to lovastatin-induced apoptosis in multiple myeloma. Molecular cancer therapeutics 6, 1886–1897 (2007 ).

    Not in our library10.1158/1535-7163.mct-06-0745

  13. 13.

    Tatidis L., Gruber A. & Vitols S. Decreased feedback regulation of low density lipoprotein receptor activity by sterols in leukemic cells from patients with acute myelogenous leukemia. Journal of lipid research 38, 2436–2445 (1997 ).

    Not in our library

  14. 14.

    Vitols S., Björkholm M., Gahrton G. & Peterson C. Hypocholesterolaemia in malignancy due to elevated low-density-lipoprotein-receptor activity in tumour cells: evidence from studies in patients with leukaemia. The Lancet 326, 1150–1154 (1985 ).

    Not in our library10.1016/s0140-6736(85)92679-0

  15. 15.

    Chen Y. & Hughes‐Fulford M. Human prostate cancer cells lack feedback regulation of low‐density lipoprotein receptor and its regulator, SREBP2. International journal of cancer 91, 41–45 (2001 ).

    Not in our library10.1002/1097-0215(20010101)91:1<41::aid-ijc1009>3.0.co;2-2

  16. 16.

    Likus W.. Could drugs inhibiting the mevalonate pathway also target cancerstem cells? Drug Res. Update 25, 13–25, doi: (2016 ).

    Not in our library10.1016/j.drup.2016.02.001

  17. 17.
  18. 18.

    Wang T.. Simvastatin-induced breast cancer cell death and deactivation of PI3K/Akt and MAPK/ERK signalling are reversed by metabolic products of the mevalonate pathway. Oncotarget 7, 2532–2544, doi: (2016 ).

    Not in our library10.18632/oncotarget.6304

  19. 19.

    Brown M. S. & Goldstein J. L. Multivalent feedback regulation of HMG CoA reductase, a control mechanism coordinating isoprenoid synthesis and cell growth. Journal of lipid research 21, 505–517 (1980 ).

    Not in our library

  20. 20.

    Kita T., Brown M. S. & Goldstein J. L. Feedback regulation of 3-hydroxy-3-methylglutaryl coenzyme A reductase in livers of mice treated with mevinolin, a competitive inhibitor of the reductase. Journal of Clinical Investigation 66, 1094 (1980 ).

    Not in our library10.1172/jci109938

  21. 21.

    Wong W., Dimitroulakos J., Minden M. & Penn L. HMG-CoA reductase inhibitors and the malignant cell: the statin family of drugs as triggers of tumor-specific apoptosis. Leukemia 16, 508–519 (2002 ).

    Not in our library10.1038/sj.leu.2402476

  22. 22.

    Laufs U., Marra D., Node K. & Liao J. K. 3-Hydroxy-3-methylglutaryl-CoA reductase inhibitors attenuate vascular smooth muscle proliferation by preventing rho GTPase-induced down-regulation of p27 Kip1. Journal of Biological Chemistry 274, 21926–21931 (1999 ).

    Not in our library10.1074/jbc.274.31.21926

  23. 23.

    Rao S., Lowe M., Herliczek T. W. & Keyomarsi K. Lovastatin mediated G1 arrest in normal and tumor breast cells is through inhibition of CDK2 activity and redistribution of p21 and p27, independent of p53. Oncogene 17, 2393–2402 (1998 ).

    Not in our library10.1038/sj.onc.1202322

  24. 24.

    Garwood E. R.. Fluvastatin reduces proliferation and increases apoptosis in women with high grade breast cancer. Breast cancer research and treatment 119, 137–144 (2010 ).

    Not in our library10.1007/s10549-009-0507-x

  25. 25.

    Clendening J. W.. Exploiting the mevalonate pathway to distinguish statin-sensitive multiple myeloma. Blood 115, 4787–4797 (2010 ).

    Not in our library10.1182/blood-2009-07-230508

  26. 26.

    Xia Z.. Blocking protein geranylgeranylation is essential for lovastatin-induced apoptosis of human acute myeloid leukemia cells. Leukemia 15, 1398–1407 (2001 ).

    Not in our library10.1038/sj.leu.2402196

  27. 27.

    Ghavami S.. Statin-triggered cell death in primary human lung mesenchymal cells involves p53-PUMA and release of Smac and Omi but not cytochrome c. Biochim Biophys Acta 1803, 452–467, doi: (2010 ).

    Not in our library10.1016/j.bbamcr.2009.12.005

  28. 28.

    Ghavami S.. Apoptosis, autophagy and ER stress in mevalonate cascade inhibition-induced cell death of human atrial fibroblasts. Cell Death Dis 3, e330, doi: (2012 ).

    Not in our library10.1038/cddis.2012.61

  29. 29.

    Ahern T. P.. Statin prescriptions and breast cancer recurrence risk: a Danish nationwide prospective cohort study. Journal of the National Cancer Institute 103, 1461–1468 (2011 ).

    Not in our library10.1093/jnci/djr291

  30. 30.

    Khurana V., Bejjanki H. R., Caldito G. & Owens M. W. Statins reduce the risk of lung cancer in humans: a large case-control study of US veterans. CHEST Journal 131, 1282–1288 (2007 ).

    Not in our library10.1378/chest.06-0931

  31. 31.

    Farwell W. R.. The association between statins and cancer incidence in a veterans population. Journal of the National Cancer Institute 100, 134–139 (2008 ).

    Not in our library10.1093/jnci/djm286

  32. 32.

    Chan K. K., Oza A. M. & Siu L. L. The statins as anticancer agents. Clinical cancer research 9, 10–19 (2003 ).

    Not in our library

  33. 33.

    Gaist D., Hallas J., Friis S., Hansen S. & Sorensen H. T. Statin use and survival following glioblastoma multiforme. Cancer Epidemiol 38, 722–727, doi: (2014 ).

    Not in our library10.1016/j.canep.2014.09.010

  34. 34.

    van de Donk N. W., Kamphuis M. M., van Kessel B., Lokhorst H. M. & Bloem A. C. Inhibition of protein geranylgeranylation induces apoptosis in myeloma plasma cells by reducing Mcl-1 protein levels. Blood 102, 3354–3362, doi: (2003 ).

    Not in our library10.1182/blood-2003-03-09702003-03-0970

  35. 35.

    Zhuang L., Kim J., Adam R. M., Solomon K. R. & Freeman M. R. Cholesterol targeting alters lipid raft composition and cell survival in prostate cancer cells and xenografts. J Clin Invest 115, 959–968, doi: (2005 ).

    Not in our library10.1172/jci19935

  36. 36.

    Wu H.. Effect of simvastatin on glioma cell proliferation, migration, and apoptosis. Neurosurgery 65, 1087–1096, discussion 1096–1087, doi: (2009 ).

    Not in our library10.1227/01.neu.0000360130.52812.1d

  37. 37.

    Jiang Z., Zheng X., Lytle R. A., Higashikubo R. & Rich K. M. Lovastatin-induced up-regulation of the BH3-only protein, Bim, and cell death in glioblastoma cells. J Neurochem 89, 168–178, doi: (2004 ).

    Not in our library10.1111/j.1471-4159.2004.02319.x

  38. 38.

    Shen Y., Du Y., Zhang Y. & Pan Y. Synergistic effects of combined treatment with simvastatin and exemestane on MCF-7 human breast cancer cells. Mol Med Rep 12, 456–462, doi: (2015 ).

    Not in our library10.3892/mmr.2015.3406

  39. 39.

    Shen Y. Y., Yuan Y., Du Y. Y. & Pan Y. Y. Molecular mechanism underlying the anticancer effect of simvastatin on MDA-MB-231 human breast cancer cells. Mol Med Rep 12, 623–630, doi: (2015 ).

    Not in our library10.3892/mmr.2015.3411

  40. 40.

    Goard C. A.. Identifying molecular features that distinguish fluvastatin-sensitive breast tumor cells. Breast Cancer Res Treat 143, 301–312, doi: (2014 ).

    Not in our library10.1007/s10549-013-2800-y

  41. 41.

    Kwok S. C., Samuel S. P. & Handal J. Atorvastatin activates heme oxygenase-1 at the stress response elements. J Cell Mol Med 16, 394–400, doi: (2012 ).

    Not in our library10.1111/j.1582-4934.2011.01324.x

  42. 42.

    Sanchez C. A.. Statin-induced inhibition of MCF-7 breast cancer cell proliferation is related to cell cycle arrest and apoptotic and necrotic cell death mediated by an enhanced oxidative stress. Cancer Invest 26, 698–707, doi: (2008 ).

    Not in our library10.1080/07357900701874658

  43. 43.

    Moriai R., Tsuji N., Moriai M., Kobayashi D. & Watanabe N. Survivin plays as a resistant factor against tamoxifen-induced apoptosis in human breast cancer cells. Breast Cancer Res Treat 117, 261–271, doi: (2009 ).

    Not in our library10.1007/s10549-008-0164-5

  44. 44.

    Kotamraju S., Williams C. L. & Kalyanaraman B. Statin-induced breast cancer cell death: role of inducible nitric oxide and arginase-dependent pathways. Cancer Res 67, 7386–7394, doi: (2007 ).

    Not in our library10.1158/0008-5472.can-07-0993

  45. 45.

    Denoyelle C.. Cerivastatin, an inhibitor of HMG-CoA reductase, inhibits the signaling pathways involved in the invasiveness and metastatic properties of highly invasive breast cancer cell lines: an in vitro study. Carcinogenesis 22, 1139–1148 (2001 ).

    Not in our library10.1093/carcin/22.8.1139

  46. 46.

    Hwang K. E.. Enhanced apoptosis by pemetrexed and simvastatin in malignant mesothelioma and lung cancer cells by reactive oxygen species-dependent mitochondrial dysfunction and Bim induction. Int J Oncol 45, 1769–1777, doi: (2014 ).

    Not in our library10.3892/ijo.2014.2584

  47. 47.

    Hwang K. E.. Synergistic induction of apoptosis by sulindac and simvastatin in A549 human lung cancer cells via reactive oxygen species-dependent mitochondrial dysfunction. Int J. Oncol 43, 262–270, doi: (2013 ).

    Not in our library10.3892/ijo.2013.1933

  48. 48.

    Yu X., Pan Y., Ma H. & Li W. Simvastatin inhibits proliferation and induces apoptosis in human lung cancer cells. Oncol Res 20, 351–357, doi: (2013 ).

    Not in our library10.3727/096504013x13657689382897

  49. 49.

    Park I. H., Kim J. Y., Choi J. Y. & Han J. Y. Simvastatin enhances irinotecan-induced apoptosis in human non-small cell lung cancer cells by inhibition of proteasome activity. Invest New Drugs 29, 883–890, doi: (2011 ).

    Not in our library10.1007/s10637-010-9439-x

  50. 50.

    Hwang K. E.. Apoptotic induction by simvastatin in human lung cancer A549 cells via Akt signaling dependent down-regulation of survivin. Invest New Drugs 29, 945–952, doi: (2011 ).

    Not in our library10.1007/s10637-010-9450-2

  51. 51.

    Ghavami S.. Airway mesenchymal cell death by mevalonate cascade inhibition: integration of autophagy, unfolded protein response and apoptosis focusing on Bcl2 family proteins. Biochim Biophys Acta 1843, 1259–1271, doi: (2014 ).

    Not in our library10.1016/j.bbamcr.2014.03.006

  52. 52.

    Kanugula A. K.. Statin-induced inhibition of breast cancer proliferation and invasion involves attenuation of iron transport: intermediacy of nitric oxide and antioxidant defence mechanisms. FEBS J 281, 3719–3738, doi: (2014 ).

    Not in our library10.1111/febs.12893

  53. 53.

    Zhang F. L. & Casey P. J. Protein prenylation: molecular mechanisms and functional consequences. Annu Rev Biochem 65, 241–269, doi: (1996 ).

    Not in our library10.1146/annurev.bi.65.070196.001325

  54. 54.

    Ageberg M.. Inhibition of geranylgeranylation mediates sensitivity to CHOP-induced cell death of DLBCL cell lines. Exp Cell Res 317, 1179–1191, doi: (2011 ).

    Not in our library10.1016/j.yexcr.2011.02.006

  55. 55.

    Cordle A., Koenigsknecht-Talboo J., Wilkinson B., Limpert A. & Landreth G. Mechanisms of statin-mediated inhibition of small G-protein function. J Biol Chem 280, 34202–34209, doi: (2005 ).

    Not in our library10.1074/jbc.m505268200

  56. 56.

    Waiczies S., Bendix I. & Zipp F. Geranylgeranylation but not GTP-loading of Rho GTPases determines T cell function. Sci Signal 1, pt3, doi: (2008 ).

    Not in our library10.1126/stke.112pt3

  57. 57.

    Waiczies S.. Geranylgeranylation but not GTP loading determines rho migratory function in T cells. J Immunol 179, 6024–6032 (2007 ).

    Not in our library10.4049/jimmunol.179.9.6024

  58. 58.

    Johnson C. W. & Mattos C. The allosteric switch and conformational states in Ras GTPase affected by small molecules. Enzymes 33, Pt A, 41–67, doi: (2013 ).

    Not in our library10.1016/b978-0-12-416749-0.00003-8

  59. 59.

    Wennerberg K., Rossman K. L. & Der C. J. The Ras superfamily at a glance. J Cell Sci 118, 843–846 (2005 ).

    Not in our library10.1242/jcs.01660

  60. 60.

    Goldfinger L. E. Choose your own path: specificity in Ras GTPase signaling. Mol Biosyst 4, 293–299, doi: (2008 ).

    Not in our library10.1039/b716887j

  61. 61.

    Timmerman I., Daniel A. E., Kroon J. & van Buul J. D. Leukocytes Crossing the Endothelium: A Matter of Communication. Int Rev Cell Mol Biol 322, 281–329, doi: (2016 ).

    Not in our library10.1016/bs.ircmb.2015.10.005

  62. 62.

    Wennerberg K. & Der C. J. Rho-family GTPases: it’s not only Rac and Rho (and I like it). Journal of cell science 117, 1301–1312 (2004 ).

    Not in our library10.1242/jcs.01118

  63. 63.

    Wherlock M. & Mellor H. The Rho GTPase family: a Racs to Wrchs story. Journal of cell science 115, 239–240 (2002 ).

    Not in our library10.1242/jcs.115.2.239

  64. 64.

    Etienne-Manneville S. & Hall A. Rho GTPases in cell biology. Nature 420, 629–635 (2002 ).

    Not in our library10.1038/nature01148

  65. 65.

    Jaffe A. B. & Hall A. Rho GTPases: biochemistry and biology. Annu. Rev. Cell Dev. Biol. 21, 247–269 (2005 ).

    Not in our library10.1146/annurev.cellbio.21.020604.150721

  66. 66.

    Aspenström P., Fransson Å. & Saras J. Rho GTPases have diverse effects on the organization of the actin filament system. Biochemical Journal 377, 327–337 (2004 ).

    Not in our library10.1042/bj20031041

  67. 67.

    Ridley A. J. Rho proteins and cancer. Breast cancer research and treatment 84, 13–19 (2004 ).

    Not in our library10.1023/b:brea.0000018423.47497.c6

  68. 68.

    Forbes S. A.. COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer. Nucleic Acids Research 39, 945–950 (2010 ).

    Not in our library10.1093/nar/gkq929

  69. 69.
  70. 70.

    Fritz G., Just I. & Kaina B. Rho GTPases are over‐expressed in human tumors. International journal of cancer 81, 682–687 (1999 ).

    Not in our library10.1002/(sici)1097-0215(19990531)81:5<682::aid-ijc2>3.0.co;2-b

  71. 71.

    Van Golen K. L., Wu Z.-F., Qiao X. T., Bao L. W. & Merajver S. D. RhoC GTPase, a novel transforming oncogene for human mammary epithelial cells that partially recapitulates the inflammatory breast cancer phenotype. Cancer research 60, 5832–5838 (2000 ).

    Not in our library

  72. 72.

    Hwang S.-L.. Rac2 expression and mutation in human brain tumors. Acta neurochirurgica 147, 551–554 (2005 ).

    Not in our library10.1007/s00701-005-0515-5

  73. 73.

    Culig Z. & Bartsch G. Androgen axis in prostate cancer. Journal of cellular biochemistry 99, 373–381 (2006 ).

    Not in our library10.1002/jcb.20898

  74. 74.

    Shieh D. B.. Cell motility as a prognostic factor in stage I nonsmall cell lung carcinoma. Cancer 85, 47–57 (1999 ).

    Not in our library10.1002/(sici)1097-0142(19990101)85:1<47::aid-cncr7>3.0.co;2-l

  75. 75.

    Liu S.-Y., Yen C.-Y., Yang S.-C., Chiang W.-F. & Chang K.-W. Overexpression of Rac-1 small GTPase binding protein in oral squamous cell carcinoma. Journal of oral and maxillofacial surgery 62, 702–707 (2004 ).

    Not in our library10.1016/j.joms.2004.02.002

  76. 76.

    Kamai T.. Overexpression of RhoA, Rac1, and Cdc42 GTPases is associated with progression in testicular cancer. Clinical Cancer Research 10, 4799–4805 (2004 ).

    Not in our library10.1158/1078-0432.ccr-0436-03

  77. 77.

    Pan Y.. Expression of seven main Rho family members in gastric carcinoma. Biochemical and biophysical research communications 315, 686–691 (2004 ).

    Not in our library10.1016/j.bbrc.2004.01.108

  78. 78.

    DerMardirossian C. & Bokoch G. M. GDIs: central regulatory molecules in Rho GTPase activation. Trends in cell biology 15, 356–363 (2005 ).

    Not in our library10.1016/j.tcb.2005.05.001

  79. 79.

    Abraham M. T.. Motility‐Related Proteins as Markers for Head and Neck Squamous Cell Cancer. The Laryngoscope 111, 1285–1289 (2001 ).

    Not in our library10.1097/00005537-200107000-00027

  80. 80.

    Kamai T.. RhoA is associated with invasion and lymph node metastasis in upper urinary tract cancer. BJU international 91, 234–238 (2003 ).

    Not in our library10.1046/j.1464-410x.2003.03063.x

  81. 81.

    Kamai T., Arai K., Tsujii T., Honda M. & Yoshida K. Overexpression of RhoA mRNA is associated with advanced stage in testicular germ cell tumour. BJU international 87, 227–231 (2001 ).

    Not in our library10.1046/j.1464-410x.2001.02030.x

  82. 82.

    Nielsen S. F., Nordestgaard B. G. & Bojesen S. E. Statin use and reduced cancer-related mortality. N Engl J Med 367, 1792–1802, doi: (2012 ).

    Not in our library10.1056/nejmoa1201735

  83. 83.

    Ghavami S.. Autophagy regulates trans fatty acid-mediated apoptosis in primary cardiac myofibroblasts. Biochim Biophys Acta 1823, 2274–2286, doi: (2012 ).

    Not in our library10.1016/j.bbamcr.2012.09.008

  84. 84.

    Ghavami S.. Geranylgeranyl transferase 1 modulates autophagy and apoptosis in human airway smooth muscle. Am J Physiol Lung Cell Mol Physiol 302, L420–428, doi: (2012 ).

    Not in our library10.1152/ajplung.00312.2011

  85. 85.

    Ghavami S.. Role of BNIP3 in TNF-induced cell death–TNF upregulates BNIP3 expression. Biochim Biophys Acta 1793, 546–560, doi: (2009 ).

    Not in our library10.1016/j.bbamcr.2009.01.002

  86. 86.

    Hashemi M., Ghavami S., Eshraghi M., Booy E. P. & Los M. Cytotoxic effects of intra and extracellular zinc chelation on human breast cancer cells. Eur J Pharmacol 557, 9–19, doi: (2007 ).

    Not in our library10.1016/j.ejphar.2006.11.010

  87. 87.

    Ghavami S.. Brevinin-2R(1) semi-selectively kills cancer cells by a distinct mechanism, which involves the lysosomal-mitochondrial death pathway. J Cell Mol Med 12, 1005–1022, doi: (2008 ).

    Not in our library10.1111/j.1582-4934.2008.00129.x

  88. 88.

    Mughal W.. A conserved MADS-box phosphorylation motif regulates differentiation and mitochondrial function in skeletal, cardiac, and smooth muscle cells. Cell Death Dis 6, e1944, doi: (2015 ).

    Not in our library10.1038/cddis.2015.306

  89. 89.

    Tang D.. Simvastatin potentiates tumor necrosis factor alpha-mediated apoptosis of human vascular endothelial cells via the inhibition of the geranylgeranylation of RhoA. Life Sci 79, 1484–1492, doi: S0024-3205(06)00357-210.1016/j.lfs.2006.04.019 (2006 ).

    Not in our library10.1016/j.lfs.2006.04.019

  90. 90.

    Movassagh H.. Neuronal chemorepellent Semaphorin 3E inhibits human airway smooth muscle cell proliferation and migration. J Allergy Clin Immunol 133, 560–567, doi: (2014 ).

    Not in our library10.1016/j.jaci.2013.06.011

  91. 91.

    Folch J., Lees M. & Sloane Stanley G. H. A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem 226, 497–509 (1957 ).

    Not in our library

  92. 92.

    Hauff K. D. & Hatch G. M. Reduction in cholesterol synthesis in response to serum starvation in lymphoblasts of a patient with Barth syndrome. Biochem Cell Biol 88, 595–602, doi: (2010 ).

    Not in our library10.1139/o09-186

  93. 93.

    Schaafsma D.. The mevalonate cascade as a target to suppress extracellular matrix synthesis by human airway smooth muscle. Am J Respir Cell Mol Biol 44, 394–403, doi: (2011 ).

    Not in our library10.1165/rcmb.2010-0052oc

  94. 94.

    Cieslar-Pobuda A.. Human induced pluripotent stem cell differentiation and direct transdifferentiation into corneal epithelial-like cells. Oncotarget, doi: (2016 ).

    Not in our library10.18632/oncotarget.9791

Cited by papers we hold 2

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.